Location : Remote
Your expertise :
- Degree in Statistics / Mathematics or Finance
- SQL knowledge on a good level
- Good theoretical background in math’s and statistic
- Good understanding of predictive analytics
- Experience building visualizations in Tableau or other similar tools
- Experience working with data received from Google Analytics, AdWords, Facebook, etc.
- Understanding of LTV / CAC, Conversion Rate, Cohort analysis, Retention Rate
- Understanding of digital marketing, especially PPC and SEO fields
- Analytical mindset
- Upper-intermediate English (written and spoken)
- Minimum 3 years of experience on similar position
- Python, R knowledge will be a plus
What’s in it for you?
Opportunity to deal with top-notch technologies and approaches in a world-leader product company with millions of customersOpportunity to make a difference for online privacy, freedom of speech, and net neutralityDecent market rate compensation depending on experience and skillsDeveloped corporate culture : no micromanagement, culture based on principles of truth, trust, and transparencySupport of personal and professional development
coverage of costs of external trainings, conferences, professional literaturesupport of experienced colleaguesin-house events and trainingsregular knowledge sharing in teamsEnglish classes and speaking clubsLife-balance support
25 working days of vacation5 days of paid sick leave per year without providing a medical certificate (no limitation on sick leaves with medical confirmation)generous maternity / paternity leave programProfessionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for itYou will be involved into :
Provide Product Pod with deep insights regarding all activitiesSupport in decision-makingBuilding forecasts and prediction modelsData analysis to detect the reasons of deviations in the main and secondary metricsHelp maximize revenue by bringing early attention issues or changes in trends related to our products, business practice, processes, finances, and accountingEnsure that data is tracked in the proper mannerLooking for alternative data sources and toolsInitiate deep digging analysisCreate visualizations and presenting them to the stakeholders